Generalized Linear Models Regularized with the Sorted L1-Norm

abalone | Abalone |

bodyfat | Bodyfat |

caretSlopeOwl | Model objects for model tuning with caret |

coef.Owl | Obtain coefficients |

deviance.Owl | Model deviance |

heart | Heart disease |

interpolateCoefficients | Interpolate coefficients |

interpolatePenalty | Interpolate penalty values |

owl | Generalized linear models regularized with the SLOPE (OWL)... |

owl-package | owl: Generalized Linear Models Regularized with the Sorted... |

plotDiagnostics | Plot results from diagnostics collected during model fitting |

plot.Owl | Plot coefficients |

plot.TrainedOwl | Plot results from cross-validation |

predict.Owl | Generate predictions from owl models |

print.Owl | Print results from owl fit |

score | Compute one of several loss metrics on a new data set |

setupDiagnostics | Setup a data.frame of diagnostics |

student | Student performance |

trainOwl | Train a owl model |

wine | Wine cultivars |

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